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Remote Sql Data Engineer Jobs in California (NOW HIRING)

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA

$147K/yr

Mentor team members by giving/receiving actionable feedback Minimum Qualifications: * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C# ...

Meta

Data Engineer, Product Analytics

San Francisco, CA · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... High proficiency in SQL, Python, and Dbt * Experience designing medium-to-large data engineering ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

Strong proficiency in Python and SQL for data pipeline development and analysis. * Experience with ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Spokeo

Copy of Senior Data Engineer

Pasadena, CA · Remote

$115K - $157K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Required: 5+ years of experience with SQL, schema design, and dimensional data modeling. * Required ...

New

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... Export source data across a range of access methods, including SQL, APIs, manual extracts, and ...

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All JobsSql Data Engineer JobsRemote Sql Data Engineer JobsRemote Sql Data Engineer Jobs in California

Remote Sql Data Engineer information

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are the most commonly searched types of Sql Data Engineer jobs in California? The most popular types of Sql Data Engineer jobs in California are:
What are popular job titles related to Remote Sql Data Engineer jobs in California? For Remote Sql Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sql Data Engineer jobs in California look for? The top searched job categories for Remote Sql Data Engineer jobs in California are:
What cities in California are hiring for Remote Sql Data Engineer jobs? Cities in California with the most Remote Sql Data Engineer job openings:
Remote Sql Data Engineer jobs near you
Infographic showing various Remote Sql Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer, Product Analytics

Meta

Burlingame, CA • On-site, Remote

$147K/yr

Full-time

Re-posted 27 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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